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MNIST database

Known as: MNIST, MNIST dataset 
The MNIST database (Mixed National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used… 
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Broader (1)

Artificial intelligence
Artificial neural networkCaltech 101Computer performanceComputer vision

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
DropBack: Continuous Pruning During Training
We introduce a technique that compresses deep neural networks both during and after training by constraining the total number of… 
2016
2016
Finding a good initial configuration of parameters for restricted Boltzmann machine pre-training
Restricted Boltzmann machines (RBMs) have been successfully applied in unsupervised learning and image density-based modeling… 
2016
2016
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines
2015
2015
FPGA implementation of a Deep Belief Network architecture for character recognition using stochastic computation
Deep Neural Networks (DNNs) have proven very effective for classification and generative tasks, and are widely adapted in a… 
2015
2015
Improving Back-Propagation by Adding an Adversarial Gradient
The back-propagation algorithm is widely used for learning in artificial neural networks. A challenge in machine learning is to… 
2014
2014
Fast, simple and accurate handwritten digit classification using extreme learning machines with shaped input-weights
Deep networks have inspired a renaissance in neural network use, and are becoming the default option for difficult tasks on large… 
2010
2010
Cluster based weighted SVM for the recognition of Farsi handwritten digits
The recognition of handwritten characters and digits is an important and challenging issue in OCR algorithms. This article… 
2007
2007
Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark
Although the recognition of isolated handwritten digits has been a research topic for many years, it continues to be of interest… 
2005
2005
Efficient performance estimate for one-class support vector machine
Highly Cited
2001
Highly Cited
2001
A nonlinear neural network model of mixture of local principal component analysis: application to handwritten digits recognition
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